26 machine-learning "https:" "https:" "UCL" positions at Czech Technical University in Prague in Czech
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documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Machine learning for 3D printed multifunctional metamaterials Description: The PhD topic focuses on the use
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uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Physics-guided learning for machine control Description: Robust machine control assumes modeling of robot-environment
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning
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on tungsten samples and candidate tungsten alloys will validate the simulations and guide the design of more dust-resistant materials. Finally, we will use machine learning to integrate simulation and
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scanning and Time-of-Flight (ToF) sensors, to enable robust material identification directly in non-laboratory, real-world environments. The acquired data will be processed using advanced machine learning
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15 Apr 2026 Job Information Organisation/Company Czech Technical University in Prague Department Department of Electromagnetic Field Research Field Technology » Computer technology Researcher
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up at Nuclear Physics Institute CAS in collaboration with CTU in Prague FNSPE, and Archaeological Institute, Prague, with MILEA AMS machine from Ionplus AG. For FNSPE target analytes are U-236, I-129, Ca-41
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in advance to discuss the proposal. Additional comments Supervisor: Assoc. Prof. Daniel Novak, Ph.D. Group page: https://aid.fel.cvut.cz Website for additional job details https://international.cvut.cz
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educator in statistics and/or modern data analysis (including ML/DL). Research scope – expertise in any of the following areas • statistics, data analysis, and information theory, • machine learning, deep
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, preparing and solving research grants. We offer: an open creative environment in the department; the opportunity to work with inspiring colleagues and collaborators; the opportunity to teach and mentor highly